Open Access
Dimension Forecast in Microstrip Antenna for C/X/Ku Band by Artificial Neural Network
Umut Özkaya1*, Levent Seyfi2
1Konya Technical University, Konya, Turkey
2Konya Technical University, Konya, Turkey
* Corresponding author:

Presented at the 2nd International Symposium on Innovative Approaches in Scientific Studies (ISAS2018-Winter), Samsun, Turkey, Nov 30, 2018

SETSCI Conference Proceedings, 2018, 3, Page (s): 518-522 ,

Published Date: 31 December 2018    | 466     12


In this study, it is aimed to design C pattern array microstrip antenna for C Band (4 to 8 GHz), X Band (8 to 12 GHz)
and Ku Band (12 GHz to 18 GHz). The proposed geometry was fed by coaxial probe. Optimum antenna was designed with
Artificial Neural Network (ANN). Inputs of the network are return loses and operating frequencies in C/X/Ku band. On the other
hand, there are six outputs such as 2-D feed points and other design dimensions. The simulated and forecasted return losses,
radiation pattern and gain results are compared with each other. All simulation results were obtained with High Frequency
Structure Simulator (HFSS) software. Also, training and test process of ANN was implemented in MATLAB software.
Additionally, these simulation and predicted results were analyzed comparatively. In particular, results of antenna design based
on ANN is so closed to real design. This technique can be used in microstrip antenna manufacturing.  

Keywords - Microstrip Antenna, Artifical Neural Networks, C/X/Ku Band, Triple Band, Optimization.


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